Performance Analysis

About

Provides a comprehensive suite for monitoring and optimizing Claude Flow agent swarms by identifying latencies in communication, processing, memory, and network operations. It empowers developers to profile real-time operations, generate detailed performance reports in various formats, and apply automated fixes to common issues like inefficient topologies or suboptimal caching. This skill is essential for maintaining enterprise-grade performance and ensuring that multi-agent systems operate at peak efficiency with minimal coordination overhead.

Key Features

• Automated bottleneck detection across communication, processing, memory, and network layers
• Deep metrics analysis for task completion, agent utilization, and resource contention
• Multi-format report generation including HTML, Markdown, and JSON
• AI-powered optimization recommendations with automated fix capabilities
• Real-time performance profiling and historical analysis of swarm operations
• 10,769 GitHub stars

Use Cases

• Automating performance auditing within CI/CD pipelines for AI agent systems
• Diagnosing latency and communication delays in multi-agent autonomous workflows
• Benchmarking swarm performance improvements after architectural or topology changes